Logical Data Lakes

Showing 1 - 4 of 4 pages tagged with: Logical Data Lakes

Leading Construction Equipment Manufacturer Improves Service Delivery and Revenue Using Data Virtualization

To engage in proactive field maintenance and service delivery, The Company heavily invested in modern tools and technologies for telematics and predictive analytics. In addition, since The Company depends heavily on part data from the field for predictive analytics, it invested in field sensors and big data technology.All this data, captured several times an hour, is then streamed or transferred into a data lake. The company needed an agile data integration and access layer, one that can easily integrate big data with other sources of enterprise or cloud data in real time. Download this case...

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Multi-zone Data Virtualization for Data Lakes

Paul Grooten, Data Architect, Statistics Netherlands presents how Statistics Netherlands are using a Spark-based data lake with Denodo's data virtualization in a multi-zone architecture to enable the statisticians to quickly find and use the data in the format they need.

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The Governed Data Lake – Putting Big Data to Work

Data lakes are en vogue, especially when you based it on avant-garde in-memory technologies such as Spark. However, these investments don’t deliver the anticipated benefits when they are not properly governed.

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The Power of Logical Data Lakes

Physical data lake solutions are constrained by factors such as duplication of data, governance limitations, and the risk of becoming another data silo. Data virtualization allows you to leave all of the source data in place, stored across myriad, heterogeneous systems, and establish a virtual, “logical data lake” for accessing all of the data.Download this solution brief to learn the benefits of a Logical Data Lake.

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